Leafmelt
PDF/Word/Excel/HTML to clean Markdown for LLMs and RAG. Keys $19/mo; 50 free calls a day.
我該用這個嗎
品質與安全性
B
根據工具定義與協定合規性的自動化分析。
上下文成本
~293Token(工具定義)
~609 B典型回應大小
極小的注意力影響(128k 上下文的 0.23%)
這是每次將伺服器的工具載入模型上下文時所消耗的約略 token 數量。數量越高,可用於其他工作的注意力就越少。
安裝
一鍵安裝
將以下內容加入你的 `claude_desktop_config.json` 檔案:
{
"mcpServers": {
"leafmelt": {
"url": "https://leafmelt.cybermax-tools.workers.dev/mcp?via=mcp-registry"
}
}
}遠端端點
https://leafmelt.cybermax-tools.workers.dev/mcp?via=mcp-registrystreamable-http它能做什麼
工具清單
工具(2)
🟢 唯讀🟡 寫入🔴 刪除⚪ 未知
🟢convert_to_markdown(urls, files, maxChars)
Convert 1-5 documents (PDF, Word .docx, Excel .xlsx/.xls, OpenDocument, Apple Numbers, CSV, HTML, XML) to clean Markdown for reading or RAG. Pass public URLs in urls, or files as [{name, base64}]. Returns markdown, format, characters, approxTokens and truncated per document. Not for images or scanned PDFs (no OCR).
輸入結構描述
{
"type": "object",
"properties": {
"urls": {
"type": "array",
"items": {
"type": "string"
},
"maxItems": 5,
"description": "Public http(s) document URLs"
},
"files": {
"type": "array",
"maxItems": 5,
"items": {
"type": "object",
"properties": {
"name": {
"type": "string"
},
"base64": {
"type": "string"
}
},
"required": [
"base64"
]
}
},
"maxChars": {
"type": "integer",
"minimum": 1000,
"maximum": 2000000,
"default": 200000
}
}
}🟢supported_formats
List the document formats Leafmelt converts, with file extensions and MIME types.
輸入結構描述
{
"type": "object",
"properties": {}
}社群
證據
近期觀測
已驗證未記錄版本2 個工具